# How to integrate Html to image MCP with Claude Agent SDK

```json
{
  "title": "How to integrate Html to image MCP with Claude Agent SDK",
  "toolkit": "Html to image",
  "toolkit_slug": "html_to_image",
  "framework": "Claude Agent SDK",
  "framework_slug": "claude-agents-sdk",
  "url": "https://composio.dev/toolkits/html_to_image/framework/claude-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/html_to_image/framework/claude-agents-sdk.md",
  "updated_at": "2026-09-24T11:11:27.373Z"
}
```

## Introduction

This guide walks you through connecting Html to image to the Claude Agent SDK using the Composio tool router. By the end, you'll have a working Html to image agent that can convert your newsletter html into a png, capture screenshot of this web page url, check how many images i converted today through natural language commands.
This guide will help you understand how to give your Claude Agent SDK agent real control over a Html to image account through Composio's Html to image MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Html to image with

- [Claude Code](https://composio.dev/toolkits/html_to_image/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/html_to_image/framework/claude-cowork)
- [OpenAI Agents SDK](https://composio.dev/toolkits/html_to_image/framework/open-ai-agents-sdk)
- [Codex](https://composio.dev/toolkits/html_to_image/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/html_to_image/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/html_to_image/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/html_to_image/framework/atomic-agent)
- [Google ADK](https://composio.dev/toolkits/html_to_image/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/html_to_image/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/html_to_image/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/html_to_image/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/html_to_image/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/html_to_image/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/html_to_image/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/html_to_image/framework/autogen)

## TL;DR

Here's what you'll learn:
- Get and set up your Claude/Anthropic and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Html to image
- Configure an AI agent that can use Html to image as a tool
- Run a live chat session where you can ask the agent to perform Html to image operations

## What is Claude Agent SDK?

The Claude Agent SDK is Anthropic's official framework for building AI agents powered by Claude. It provides a streamlined interface for creating agents with MCP tool support and conversation management.
Key features include:
- Native MCP Support: Built-in support for Model Context Protocol servers
- Permission Modes: Control tool execution permissions
- Streaming Responses: Real-time response streaming for interactive applications
- Context Manager: Clean async context management for sessions

## What is the Html to image MCP server, and what's possible with it?

The Html to image MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Html to image account. It provides structured and secure access to HTML-to-image conversion, so your agent can generate images from HTML, retrieve and manage created images, and monitor account usage automatically on your behalf.
- Instant HTML to image conversion: Your agent can convert any HTML and CSS content into high-quality images with a single request, perfect for generating banners, previews, or snapshots.
- Fetch and manage generated images: Retrieve previously created images by ID, download assets, or even request specific image modifications like resizing.
- Monitor account usage and limits: Let your agent check your hourly, daily, or monthly image generation stats, so you always know your current usage and billing situation.
- Automated asset workflows: Seamlessly integrate HTML-to-image generation into larger automation pipelines, allowing your agent to create visuals on demand and leverage them across other tools.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `HTML_TO_IMAGE_HTML_TO_IMAGE_CHECK_USAGE` | Check HTML-to-Image Account Usage | Attempts to retrieve account usage statistics from the HTML-to-Image API by trying multiple common endpoint patterns. NOTE: The html2img.com API does not officially document a dedicated usage statistics endpoint. This action tries several plausible endpoint paths and returns empty usage data if none are found (when return_defaults_on_error=true). For actual usage tracking with html2img.com, monitor the 'credits_remaining' field returned in responses from the convert or screenshot endpoints. Returns hourly, daily, and monthly image creation counts if a usage endpoint exists, or empty statistics as a fallback. |
| `HTML_TO_IMAGE_HTML_TO_IMAGE_CONVERT_TO_IMAGE` | Convert HTML to Image | Tool to convert HTML content into an image. Returns either a downloadable file or a JSON payload containing id and url, depending on the upstream API behavior. |
| `HTML_TO_IMAGE_GET_IMAGE` | Get HTML to Image | Retrieve a previously generated image by its URL. Use this to fetch, resize, or download an existing HTML-to-image asset. The image URL is typically obtained from the 'url' field of the HTML_TO_IMAGE_CONVERT_TO_IMAGE response. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Html to image MCP server is an implementation of the Model Context Protocol that connects your AI agent to Html to image. It provides structured and secure access so your agent can perform Html to image operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before starting, make sure you have:
- Composio API Key and Claude/Anthropic API Key
- Primary know-how of Claude Agents SDK
- A Html to image account
- Some knowledge of Python

### 1. Getting API Keys for Claude/Anthropic and Composio

Claude/Anthropic API Key
- Go to the [Anthropic Console](https://console.anthropic.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

No description provided.
```python
pip install composio-anthropic claude-agent-sdk python-dotenv
```

```typescript
npm install @anthropic-ai/claude-agent-sdk @composio/core dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates with Composio
- USER_ID identifies the user for session management
- ANTHROPIC_API_KEY authenticates with Anthropic/Claude
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
ANTHROPIC_API_KEY=your_anthropic_api_key_here
```

### 4. Import dependencies

No description provided.
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions
import os
from composio import Composio
from dotenv import load_dotenv

load_dotenv()
```

```typescript
import 'dotenv/config';
import readline from 'node:readline';
import { Composio } from '@composio/core';
import { query, type Options } from "@anthropic-ai/claude-agent-sdk";

dotenv.config();
```

### 5. Create a Composio instance and Tool Router session

No description provided.
```python
async def chat_with_remote_mcp():
    api_key = os.getenv("COMPOSIO_API_KEY")
    if not api_key:
        raise RuntimeError("COMPOSIO_API_KEY is not set")

    composio = Composio(api_key=api_key)

    # Create Tool Router session for Html to image
    mcp_server = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["html_to_image"]
    )

    url = mcp_server.mcp.url

    if not url:
        raise ValueError("Session URL not found")
```

```typescript
async function chat() {
  const { COMPOSIO_API_KEY, USER_ID } = process.env;
  if (!COMPOSIO_API_KEY || !USER_ID) {
    throw new Error('COMPOSIO_API_KEY and USER_ID required in .env');
  }

  const composio = new Composio({ apiKey: COMPOSIO_API_KEY });

  // Create Tool Router session for Html to image
  const session = await composio.create(USER_ID, {
    toolkits: ['html_to_image'],
  });
  const mcpUrl = session?.mcp.url;
```

### 6. Configure Claude Agent with MCP

No description provided.
```python
# Configure remote MCP server for Claude
options = ClaudeAgentOptions(
    permission_mode="bypassPermissions",
    mcp_servers={
        "composio": {
            "type": "http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    },
    system_prompt="You are a helpful assistant with access to Html to image tools via Composio.",
    max_turns=10
)
```

```typescript
const options: Options = {
  permissionMode: 'bypassPermissions',
  mcpServers: {
    composio: {
      type: 'http',
      url: mcpUrl,
      headers: { 'x-api-key': COMPOSIO_API_KEY }
    }
  },
  systemPrompt: 'You are a helpful assistant with access to Html to image tools via Composio.',
  maxTurns: 10,
};
```

### 7. Create client and start chat loop

No description provided.
```python
# Create client with context manager
async with ClaudeSDKClient(options=options) as client:
    print("\nChat started. Type 'exit' or 'quit' to end.\n")

    # Main chat loop
    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit"}:
            print("Goodbye!")
            break

        # Send query
        await client.query(user_input)

        # Receive and print response
        print("Claude: ", end="", flush=True)
        async for message in client.receive_response():
            if hasattr(message, "content"):
                for block in message.content:
                    if hasattr(block, "text"):
                        print(block.text, end="", flush=True)
        print()
```

```typescript
const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
  });

  console.log('\nChat started. Type "exit" to quit.\n');

  let isProcessing = false;

  async function ask(prompt: string) {
    isProcessing = true;
    rl.pause();

    process.stdout.write('Claude is thinking...');
    const stream = query({ prompt, options });

    let firstChunk = true;
    for await (const msg of stream) {
      const content = (msg as any).message?.content || (msg as any).content;
      if (Array.isArray(content)) {
        for (const block of content) {
          if (block.type === 'text' && block.text) {
            if (firstChunk) {
              process.stdout.write('\r\x1b[K');
              process.stdout.write('Claude: ');
              firstChunk = false;
            }
            process.stdout.write(block.text);
          }
        }
      }
    }
    process.stdout.write('\n\n');

    isProcessing = false;
    rl.resume();
    rl.prompt();
  }

  rl.on('line', async (line) => {
    if (isProcessing) return;

    const input = line.trim();
    if (input === 'exit') {
      rl.close();
      process.exit(0);
    }
    if (input) await ask(input);
    else rl.prompt();
  });

  await ask('What can you help me with?');
}
```

### 8. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(chat_with_remote_mcp())
```

```typescript
try {
  await chat();
} catch (error) {
  console.error(error);
  process.exit(1);
}
```

## Complete Code

```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions
import os
from composio import Composio
from dotenv import load_dotenv

load_dotenv()

async def chat_with_remote_mcp():
    api_key = os.getenv("COMPOSIO_API_KEY")
    if not api_key:
        raise RuntimeError("COMPOSIO_API_KEY is not set")

    composio = Composio(api_key=api_key)

    # Create Tool Router session for Html to image
    mcp_server = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["html_to_image"]
    )

    url = mcp_server.mcp.url

    if not url:
        raise ValueError("Session URL not found")

    # Configure remote MCP server for Claude
    options = ClaudeAgentOptions(
        permission_mode="bypassPermissions",
        mcp_servers={
            "composio": {
                "type": "http",
                "url": url,
                "headers": {
                    "x-api-key": os.getenv("COMPOSIO_API_KEY")
                }
            }
        },
        system_prompt="You are a helpful assistant with access to Html to image tools via Composio.",
        max_turns=10
    )

    # Create client with context manager
    async with ClaudeSDKClient(options=options) as client:
        print("\nChat started. Type 'exit' or 'quit' to end.\n")

        # Main chat loop
        while True:
            user_input = input("You: ").strip()
            if user_input.lower() in {"exit", "quit"}:
                print("Goodbye!")
                break

            # Send query
            await client.query(user_input)

            # Receive and print response
            print("Claude: ", end="", flush=True)
            async for message in client.receive_response():
                if hasattr(message, "content"):
                    for block in message.content:
                        if hasattr(block, "text"):
                            print(block.text, end="", flush=True)
            print()

if __name__ == "__main__":
    asyncio.run(chat_with_remote_mcp())
```

```typescript
import 'dotenv/config';
import readline from 'node:readline';
import { Composio } from '@composio/core';
import { query, type Options } from "@anthropic-ai/claude-agent-sdk";

async function chat() {
  const { COMPOSIO_API_KEY, USER_ID } = process.env;
  if (!COMPOSIO_API_KEY || !USER_ID) {
    throw new Error('COMPOSIO_API_KEY and USER_ID required in .env');
  }

  const composio = new Composio({ apiKey: COMPOSIO_API_KEY });
  const session = await composio.create(USER_ID, {
    toolkits: ['html_to_image']
  });
  const mcp_url = session?.mcp.url;

  const options: Options = {
    permissionMode: 'bypassPermissions',
    mcpServers: {
      composio: {
        type: 'http',
        url: mcp_url,
        headers: { 'x-api-key': COMPOSIO_API_KEY }
      }
    },
    systemPrompt: 'You are a helpful assistant with access to Html to image tools via Composio.',
    maxTurns: 10,
  };

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
  });

  console.log('\nChat started. Type "exit" to quit.\n');

  let isProcessing = false;

  async function ask(prompt: string) {
    isProcessing = true;
    rl.pause();

    process.stdout.write('Claude is thinking...');
    const stream = query({ prompt, options });

    let firstChunk = true;
    for await (const msg of stream) {
      const content = (msg as any).message?.content || (msg as any).content;
      if (Array.isArray(content)) {
        for (const block of content) {
          if (block.type === 'text' && block.text) {
            if (firstChunk) {
              process.stdout.write('\r\x1b[K');
              process.stdout.write('Claude: ');
              firstChunk = false;
            }
            process.stdout.write(block.text);
          }
        }
      }
    }
    process.stdout.write('\n\n');

    isProcessing = false;
    rl.resume();
    rl.prompt();
  }

  rl.on('line', async (line) => {
    if (isProcessing) return;

    const input = line.trim();
    if (input === 'exit') {
      rl.close();
      process.exit(0);
    }
    if (input) await ask(input);
    else rl.prompt();
  });

  await ask('What can you help me with?');
}

try {
  await chat();
} catch (error) {
  console.error(error);
  process.exit(1);
}
```

## Conclusion

You've successfully built a Claude Agent SDK agent that can interact with Html to image through Composio's Tool Router.
Key features:
- Native MCP support through Claude's agent framework
- Streaming responses for real-time interaction
- Permission bypass for smooth automated workflows
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Html to image MCP Agent with another framework

- [Claude Code](https://composio.dev/toolkits/html_to_image/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/html_to_image/framework/claude-cowork)
- [OpenAI Agents SDK](https://composio.dev/toolkits/html_to_image/framework/open-ai-agents-sdk)
- [Codex](https://composio.dev/toolkits/html_to_image/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/html_to_image/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/html_to_image/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/html_to_image/framework/atomic-agent)
- [Google ADK](https://composio.dev/toolkits/html_to_image/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/html_to_image/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/html_to_image/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/html_to_image/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/html_to_image/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/html_to_image/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/html_to_image/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/html_to_image/framework/autogen)

## Related Toolkits

- [Figma](https://composio.dev/toolkits/figma) - Figma is a collaborative interface design tool for teams and individuals. It streamlines design workflows with real-time collaboration and easy sharing.
- [Abyssale](https://composio.dev/toolkits/abyssale) - Abyssale is a creative automation platform for generating images, videos, GIFs, PDFs, and HTML5 content programmatically. It streamlines and scales visual content production for marketing, design, and operations teams.
- [Alttext ai](https://composio.dev/toolkits/alttext_ai) - AltText.ai is a service that generates alt text for images automatically. It helps boost accessibility and SEO for your visual content.
- [Are.na](https://composio.dev/toolkits/arena) - Are.na is a creative research platform for collecting images, links, notes, and ideas in channels. Use it to organize inspiration, build knowledge maps, and connect research across projects.
- [Bannerbear](https://composio.dev/toolkits/bannerbear) - Bannerbear is an API-driven platform for generating images and videos automatically at scale. It helps businesses create custom graphics, social visuals, and marketing assets using powerful templates.
- [Bannerbite](https://composio.dev/toolkits/bannerbite) - Bannerbite is a creative automation platform for generating images and videos from reusable projects and templates. It helps teams produce on-brand visual assets faster without rebuilding designs from scratch.
- [BeatAPI](https://composio.dev/toolkits/beatapi) - BeatAPI is an asynchronous API platform for AI image, video, and music workflows. It enables scalable generation, video analysis, uploads, and ecommerce video pipelines.
- [Builder.io](https://composio.dev/toolkits/builder_io) - Builder.io is a visual development platform for managing content, models, assets, and Space configuration. Use it to ship editable digital experiences faster without waiting on every code change.
- [Canva](https://composio.dev/toolkits/canva) - Canva is a drag-and-drop design suite for creating professional graphics, presentations, and marketing materials. It makes it easy for anyone to design with beautiful templates and a vast library of elements.
- [Canva MCP](https://composio.dev/toolkits/canva_mcp) - Canva MCP is Canva's remote MCP server for accessing designs and content. It centralizes design assets and enables programmatic design workflows.
- [Claid ai](https://composio.dev/toolkits/claid_ai) - Claid.ai delivers AI-driven image editing APIs for tasks like background removal, upscaling, and color correction. It helps automate and enhance image workflows with powerful, developer-friendly tools.
- [Cloudinary](https://composio.dev/toolkits/cloudinary) - Cloudinary is a cloud-based platform for managing, uploading, and transforming images and videos. It streamlines media workflows and delivers optimized assets globally.
- [Contentdrips](https://composio.dev/toolkits/contentdrips) - Contentdrips is an asynchronous rendering API for branded graphics and carousels. It turns reusable templates into on-brand social visuals at scale.
- [Creatomate](https://composio.dev/toolkits/creatomate) - Creatomate is an API for generating automated videos, images, GIFs, and reusable media templates. Use it to turn structured data into polished visual content at scale.
- [Cults](https://composio.dev/toolkits/cults) - Cults is a digital marketplace for 3D printing models, connecting designers and makers. It lets creators share, sell, and discover a huge variety of printable designs easily.
- [DeepImage](https://composio.dev/toolkits/deepimage) - DeepImage is an AI-powered image enhancer and upscaler. Get higher-quality images with just a few clicks.
- [Dreamstudio](https://composio.dev/toolkits/dreamstudio) - DreamStudio is Stability AI’s platform for generating and editing images with AI. It lets you easily turn ideas into stunning visuals, fast.
- [Dribbble](https://composio.dev/toolkits/dribbble) - Dribbble is a design community and publishing platform for managing shots, projects, and attachments. Use it to showcase work, collect feedback, and organize creative designs.
- [Dynamic Mockups](https://composio.dev/toolkits/dynamic_mockups) - Dynamic Mockups is an API platform for generating product mockups, rendering templates, and managing visual asset catalogs. Use it to automate high-quality product visuals, AI images, and motion assets at scale.
- [Dynapictures](https://composio.dev/toolkits/dynapictures) - Dynapictures is a cloud-based platform for generating personalized images at scale. Instantly create hundreds of custom visuals using your data sources, like Google Sheets.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Html to image MCP?

With a standalone Html to image MCP server, the agents and LLMs can only access a fixed set of Html to image tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Html to image and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Claude Agent SDK?

Yes, you can. Claude Agent SDK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Html to image tools.

### Can I manage the permissions and scopes for Html to image while using Tool Router?

Yes, absolutely. You can configure which Html to image scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Html to image data and credentials are handled as safely as possible.

---
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